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#' Table of census variables and formula for SVI calculation
#'
#' Each of these datasets contains a table of SVI variable names, related census
#' variable names and their corresponding calculation formula for a year between
#' 2012-2022. This is used to construct SVI results for the variables starting
#' with "E_"(estimate) and "EP_"(percentage) after obtaining census data.
#' Sometimes SVI variables are directly linked to census variables, and other
#' times one or more census variable(s) are included to derive an SVI variable.
#' Two series of calculation tables are included with different approaches to
#' construct `EP_` variables. `variable_cal_exp_` series of dataset uses census
#' variables explicitly as denominators, whereas `variable_e_ep_calculation_`
#' series of dataset retrieves percent from ACS when available (as described by
#' CDC SVI documentation). Variables in theme 5 (adjunct variables) follow CDC
#' SVI documentation and remain the same across both series of tables.
#'
#' @name variable_calculation
#' @format ## A data frame with 3 columns and various number of rows, depending
#' on the year:
#' \describe{
#' \item{_variable_name}{With a prefix "x" followed by the year, eg. x2018_variable_name, this column is the SVI variable name}
#' \item{theme}{SVI variables are categorized into four themes/domains:
#' socioeconomic, household composition/disability, minority status/language
#' and housing type/transportation. Theme 0 is used for 3 variables
#' representing total counts, while theme 5 is used for adjunct variables (not
#' included in calculation). Adjunct variables are not included in 2012 due to
#' unavailable data/documentation.}
#' \item{_table_field_calculation}{With a prefix "x" followed by the year, eg. x2018_table_field_calculation,
#' this column contains the corresponding census variable names, and/or the calculation
#' using SVI/census variables. }
#' }
#' @source CDC/ATSDR SVI Documentation
#' https://www.atsdr.cdc.gov/placeandhealth/svi/data_documentation_download.html
"variable_e_ep_calculation_2012"
#' @rdname variable_calculation
"variable_e_ep_calculation_2013"
#' @rdname variable_calculation
"variable_e_ep_calculation_2014"
#' @rdname variable_calculation
"variable_e_ep_calculation_2015"
#' @rdname variable_calculation
"variable_e_ep_calculation_2016"
#' @rdname variable_calculation
"variable_e_ep_calculation_2017"
#' @rdname variable_calculation
"variable_e_ep_calculation_2018"
#' @rdname variable_calculation
"variable_e_ep_calculation_2019"
#' @rdname variable_calculation
"variable_e_ep_calculation_2020"
#' @rdname variable_calculation
"variable_e_ep_calculation_2021"
#' @rdname variable_calculation
"variable_e_ep_calculation_2022"
#' @rdname variable_calculation
"variable_cal_exp_2012"
#' @rdname variable_calculation
"variable_cal_exp_2013"
#' @rdname variable_calculation
"variable_cal_exp_2014"
#' @rdname variable_calculation
"variable_cal_exp_2015"
#' @rdname variable_calculation
"variable_cal_exp_2016"
#' @rdname variable_calculation
"variable_cal_exp_2017"
#' @rdname variable_calculation
"variable_cal_exp_2018"
#' @rdname variable_calculation
"variable_cal_exp_2019"
#' @rdname variable_calculation
"variable_cal_exp_2020"
#' @rdname variable_calculation
"variable_cal_exp_2021"
#' @rdname variable_calculation
"variable_cal_exp_2022"
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